Adam Kortylewski

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Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Thomas VetterEmeritus Professor in Computer Science, University of BaselDirección de correo verificada de unibas.ch
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityDirección de correo verificada de mpi-inf.mpg.de
Angtian WangJohns Hopkins UniversityDirección de correo verificada de jhu.edu
Bernhard EggerProfessor, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Dirección de correo verificada de fau.de
Ju HeJohns Hopkins UniversityDirección de correo verificada de jh.edu
Ayush TewariMITDirección de correo verificada de mit.edu
Fangneng ZhanMax Planck Institute for InformaticsDirección de correo verificada de mpi-inf.mpg.de
Florian BernardProfessor, University of BonnDirección de correo verificada de uni-bonn.de
Chenglin YangJohns Hopkins UniversityDirección de correo verificada de jhu.edu
Stefanie WuhrerINRIA Grenoble Rhone-AlpesDirección de correo verificada de inria.fr
Timo BolkartGoogleDirección de correo verificada de google.com
Volker BlanzProfessor of Computer Science, Universitaet SiegenDirección de correo verificada de informatik.uni-siegen.de
Michael ZollhoeferDirector, Research Scientist, Reality Labs Research, MetaDirección de correo verificada de meta.com
William A. P. SmithProfessor, Department of Computer Science, University of YorkDirección de correo verificada de york.ac.uk
Cihang XieAssistant Professor, University of California, Santa CruzDirección de correo verificada de ucsc.edu
Huiyu WangResearch Scientist, FAIR, MetaDirección de correo verificada de fb.com
Wei Shen (沈为)Shanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Volker RothProfessor of Computer Science, University of BaselDirección de correo verificada de unibas.ch
Sonali ParbhooAssistant Professor, Imperial College LondonDirección de correo verificada de imperial.ac.uk

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Adam Kortylewski

Research Group Leader, University of Freiburg and Max Planck Institute for Informatics

Dirección de correo verificada de cs.uni-freiburg.de - Página principal

Robust AI Generative AI AI Safety Computer Vision Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
3d morphable face models—past, present, and future B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ... ACM Transactions on Graphics (ToG) 39 (5), 1-38, 2020	384	2020
TransFG: A Transformer Architecture for Fine-grained Recognition J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022	318	2022
Multimodal Image Synthesis and Editing: The Generative AI Era F Zhan, Y Yu, R Wu, J Zhang, S Lu, L Liu, A Kortylewski, C Theobalt, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	165*	2023
Analyzing and reducing the damage of dataset bias to face recognition with synthetic data A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	128	2019
Robust Object Detection under Occlusion with Context-Aware CompositionalNets A Wang, Y Sun, A Kortylewski, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020	119	2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion A Kortylewski, J He, Q Liu, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020	96	2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning C Yang, A Kortylewski, C Xie, Y Cao, A Yuille Proceedings of the European Conference on Computer Vision (ECCV), 2020	89	2020
Training deep face recognition systems with synthetic data A Kortylewski, A Schneider, T Gerig, B Egger, A Morel-Forster, T Vetter arXiv preprint arXiv:1802.05891, 2018	88*	2018
Occlusion-aware 3d morphable models and an illumination prior for face image analysis B Egger, S Schönborn, A Schneider, A Kortylewski, A Morel-Forster, ... International Journal of Computer Vision 126, 1269-1287, 2018	84	2018
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation J Mu, W Qiu, A Kortylewski, A Yuille, N Vasconcelos, X Wang Proceedings of the IEEE International Conference on Computer Vision, 2021	83	2021
Compositional convolutional neural networks: A robust and interpretable model for object recognition under occlusion A Kortylewski, Q Liu, A Wang, Y Sun, A Yuille International Journal of Computer Vision 129 (3), 736-760, 2020	80	2020
Empirically analyzing the effect of dataset biases on deep face recognition systems A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter Proceedings of the IEEE conference on computer vision and pattern …, 2018	72	2018
Combining compositional models and deep networks for robust object classification under occlusion A Kortylewski, Q Liu, H Wang, Z Zhang, A Yuille Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020	69	2020
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping P Kaushik, A Gain, A Kortylewski, A Yuille Advances in Neural Information Processing Systems, MetaLearn Workshop, 2021	54	2021
PartImageNet: A large, high-quality dataset of parts J He, S Yang, S Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... Proceedings of the European Conference on Computer Vision (ECCV), 2022	51	2022
Unsupervised footwear impression analysis and retrieval from crime scene data A Kortylewski, T Albrecht, T Vetter Asian Conference on Computer Vision, 644-658, 2014	49	2014
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering V Gupta, Z Li, A Kortylewski, C Zhang, Y Li, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022	47	2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images B Zhao, S Yu, W Ma, M Yu, S Mei, A Wang, J He, A Yuille, A Kortylewski Proceedings of the European Conference on Computer Vision (ECCV), 2022	41*	2022
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation A Wang, A Kortylewski, A Yuille International Conference on Learning Representations (ICLR), 2021, 2021	40	2021
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion X Yuan, A Kortylewski, Y Sun, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020	39	2020

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